Label data with the fastest and most intuitive annotation tools
Labelbox interfaces are intuitive to use and have full hotkey support to increase labeler productivity. To get started, configure a labeling interface for your task in minutes using one or more of the segmentation and classification tools. Or, build your own custom interface with Javascript SDK to use with Labelbox.
One place for data labeling, data management, and data science
Unify in-house and external labeling activities with flexible labeling interfaces and work distribution tools. Manage all of your labeled data in one place. Supercharge data science work with pre-built integrations and the latest ML techniques.
Create better training data
An ML model is only as good as its training data. Take control of training data quality through collaborative labeling and quality assurance processes.
Spend more time building AI
Say goodbye to those spreadsheets and python scripts. Labelbox is a complete set of tools to create and manage training data. Now you can get back to creating the products your customers want.
Extensible and Developer Friendly
Set up ingest, ETL, and egress integrations between your ML pipeline and Labelbox. Connect your ML models to supercharge labeling productivity and orchestrate active learning. Labelbox is API-first so you can do just about anything!
from graphqlclient import GraphQLClient
client = GraphQLClient('https://api.labelbox.com/graphql')
client.inject_token('Bearer <API_KEY_HERE>')
data = client.execute('
mutation {
createDataRow(
data: {
rowData: "<DATA_THAT_NEEDS_TO_BE_LABELED>",
dataset: {
connect: {
id: "<DATASET_ID_HERE>"
}
},
organization: {
connect: {
id: "<INSERT_YOUR_ORGANIZATION_ID_FROM_ABOVE_HERE>"
}
},
}
)
}
')
from graphqlclient import GraphQLClient
client = GraphQLClient('https://api.labelbox.com/graphql')
client.inject_token('Bearer <API_KEY_HERE>')
data = client.execute('
mutation {
createLabel(
data: {
label:"<INSERT_LABEL_DATA_STRING_HERE>",
secondsToLabel: 42,
dataRow: {
connect: {
id: "<INSERT_DATA_ROW_ID_HERE>"
}
},
project: {
connect: {
id: "<INSERT_PROJECT_ID_HERE>"
}
},
type: {
connect: {
name: "Any"
}
}
}) {
id
label
}}
')
from graphqlclient import GraphQLClient
client = GraphQLClient('https://api.labelbox.com/graphql')
client.inject_token('Bearer <API_KEY_HERE>')
data = client.execute('
mutation{
createPrediction(data:{
label:"<should-be-the-exact-same-as-label.label>",
predictionModelId:"<from-the-prediction-model-you-created-earlier>",
projectId:"<any-project-id>",
dataRowId:"<any-datarow-id>",
}){
id
}
}
')
from graphqlclient import GraphQLClient
client = GraphQLClient('https://api.labelbox.com/graphql')
client.inject_token('Bearer <API_KEY_HERE>')
data = client.execute('
query {
project(where:{id: "<INSERT_PROJECT_ID_HERE>"}) {
labels(first: 5){
id
label
createdBy{
id
email
}
type {
id
name
}
secondsToLabel
agreement
dataRow {
id
rowData
}
}
}
}
')
Our customers say it best
Labelbox has become essential to our process. It is the beginning of every single deep learning exercise we do. The only thing that comes before Labelbox is recording the data.
Gal Ozery
AI Product Owner, Genius Sports
Labelbox is very well integrated as a part of our overall system design. Labelbox has helped us efficiently collect and analyze data through their strong infrastructure support. We’re able to get the labels we need for all different types of video and image analysis.
Stephen Krotosky
Manager, Applied Machine Learning